2018-04-12 10:48

1 files changed, 9 insertions, 4 deletions

diff --git a/opa/chapter.tex b/opa/chapter.tex
index 2918e94..7a1d9e6 100644
--- a/opa/chapter.tex
+++ b/opa/chapter.tex
@@ -1,7 +1,4 @@
-% TODO: DONALDSON HAS AUTOMATED OPA TUNING DOWN?

-

-\chapter{A robust, fully automated algorithm to collect high quality OPA tuning

-  curves} \label{cha:opa}

+\chapter{A robust, automated strategy to collect high quality OPA tuning curves} \label{cha:opa}

 

 \begin{dquote}

   Principle design features of the new EVV 2DIR optical delivery system include the following:

@@ -29,6 +26,8 @@ OPA tuning range into the visible, near-infrared, and mid-infrared. %
 OPAs are very sensitive to changes in upstream lasers and lab conditions, so OPA tuning is

 regularly required. %

 Manual OPA tuning can easily take a full day. %

+Furthermore, manual tuning typically results in inferior tuning curves, since it is difficult to

+consider all available information simultaneously.  %

 Automated OPA tuning makes OPA upkeep easier, faster and more reproducible, facilitating frequency

 domain experiments. %

 The major challenges in automated OPA tuning are:

@@ -38,6 +37,12 @@ The major challenges in automated OPA tuning are:
   \item Optimization metrics are not necessarily separable along motor dimensions.

 \end{enumerate}

 

+In this chapter I describe my strategy for automatically collecting high resolution OPA tuning

+curves.  %

+While I have strategies for all four kinds of OPAs used in the Wright Group, I focus on the

+femtosecond TOPAS-C models because they are by far the most challenging model to calibrate.  %

+

+\clearpage

 \section{TOPAS-C}  % ==============================================================================

 

 [INTRODUCTION TO THE TOPAS-C]